Post-purchase intelligence, defined

How quickly a product is used up after purchase. Used to time reorder reminders and subscription cadence based on real usage rather than an average order cycle.

Information a customer provides about their experience with a product or brand. Can be public (reviews) or private and structured (post-purchase surveys).

A direct, stated measure of how happy a customer is with a specific product, typically captured on a numeric or descriptive scale shortly after delivery.

A survey sent based on a delivery or fulfillment event rather than the order date - timed to land in the 24-48 hour window after a customer receives their product.

The practice of collecting and analysing structured customer data after delivery - satisfaction, quality, consumption - to inform product and retention decisions.

A short survey sent to a customer after a product is delivered, rather than at checkout, used to capture satisfaction and product-level feedback.

SKU-level insight into how a specific product performs after it ships - satisfaction, quality issues, and complaint themes, tracked per product rather than brand-wide.

The rate at which customers continue to buy from a brand over time. In post-purchase intelligence, retention risk is measured through declared reorder intent, not just order history.

Identifying and addressing the product issues - sizing, quality, expectation mismatches - that cause returns, before they show up as a returns wave.

A Shopify app that collects customer feedback by connecting to store and order data, typically triggered by an order, fulfillment, or delivery event.

Stock Keeping Unit - a unique identifier for a specific product variant. Post-purchase data tracked at SKU level can be traced to one specific product, not an entire order.

Data a customer intentionally and proactively shares with a brand, as opposed to data inferred from behaviour or tracked passively.